- 充值
- 会员
- 职称材料
文献信息
The Journal of Statistical Theory and Practice is a broad-based journal encouraging submission of original research papers, significant review articles, and book reviews in statistical sciences. The journal also publishes editorials on "Life and Works" of eminent scholars. Special issues on targeted topics are published from time to time. In addition to covering all traditional topics in statistical theory and applications, the journal will also publish articles in the field of data sciences including machine learning.
Maximum LikelihoodMaximum Likelihood EstimationPopulation MeanMean Squared ErrorAuxiliary VariableNormal DistributionAsymptotic NormalityPredictive InferenceExponential DistributionMaximum Likelihood EstimatorFinite PopulationMean Square ErrorAuxiliary InformationTest StatisticCensored DataOptimal DesignMonte Carlo SimulationFamily of DistributionsLikelihood Ratio TestNull Hypothesis
The Journal of Statistical Theory and Practice is a broad-based journal encouraging submission of original research papers, significant review articles, and book reviews in statistical sciences. The journal also publishes editorials on "Life and Works" of eminent scholars. Special issues on targeted topics are published from time to time. In addition to covering all traditional topics in statistical theory and applications, the journal will also publish articles in the field of data sciences including machine learning.